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Problem 7: 10 points Assume that the inter-arrival times, S the renewal process, j21, are independent...
Problem 7: 10 points Assume that a lifetime random variable (T) is exponentially distributed with the...
Problem 7: 10 points Assume that a lifetime random variable (T) is exponentially distributed with the intensity λ > 0. 1. Determine conditional density of the residual lifetime, T-u, given that T>u 2. Find conditional expectation, EITIT>] Solution
5.4.8 Electrical pulses with independent and identically distributed random ampl tudes ξ1,$2, arr...
5.4.8 Electrical pulses with independent and identically distributed random ampl tudes ξ1,$2, arrive at a detector at random times W1, W2 according to a Poisson process of rate λ. The detector output 6k(t) for the kth pulse at time t is for t Wk That is, the amplitude impressed on the detector when the pulse arrives is ξk, and its effect thereafter decays exponentially at rate α. Assume that the detector is additive, so that if N(t) pulses arrive during...
Problem 7: 10 points Assume that a lifetime random variable (T) is exponentially distributed with the...
Problem 7: 10 points Assume that a lifetime random variable (T) is exponentially distributed with the intensity λ > 0. I. Determine conditional density of the residual lifetime, T-u, given that T 〉 u. 2. Find conditional expectation, E TT>u
Problem 4 [10 points Assume that variables, (X1, X2, with the same Consider Y-Σ, xi. АЗ,...
Problem 4 [10 points Assume that variables, (X1, X2, with the same Consider Y-Σ, xi. АЗ, }, conditionally, given Q, are independent Bernoulli distributed parameter, Q. The marginal distribution of Q is uniform over the unit interval (o, Hint Use the identity (valid for integer a 20 and b 2 0): a! b! 1. Find marginal distribution of Y, for k 0,1,2,3. 2. Derive the conditional density for Q, given that Y -2 3. Derive conditional expectation and conditional variance...
Problem 6: 10 points Assume that X and Y are independent random variables uniformly distributed over...
Problem 6: 10 points Assume that X and Y are independent random variables uniformly distributed over the unit interval (0,1) 1. Define Z-max (X, Y) as the larger of the two. Derive the C.D.F. and density function for Z. 2. Define Wmin (X, Y) as the smaller of the two. Derive the C.D.F. and density function for W 3. Derive the joint density of the pair (W, Z). Specify where the density if positive and where it takes a zero...
Problem 6: 10 points Assume that X and Y are independent random variables uniformly distributed over...
Problem 6: 10 points Assume that X and Y are independent random variables uniformly distributed over the unit interval (0,1) 1. Define Z max (X. Y) as the larger of the two, Derive the C.DF. and density function for Z. 2. Define W min(X,Y) as the smaller of the two. Derive the C.D.F.and density function for W 3. Derive the joint density of the pair (W. Z). Specify where the density if positive and where it takes a zero value....
Problem 1.4 (10 points) Consider a series of payments of $1,000 at the random arrival times of a ...
Problem 1.4 (10 points) Consider a series of payments of $1,000 at the random arrival times of a Poisson process with parameter λ > O. If the (continuously compounded) interest rate is >0, then the present value at time 0 of a payment of $1,000 at time t is given by 1,000e-r Show that the expected total present value at time 0 of the series of payments made by time t>0 is given by $1,000x(1-e-')/r.
Problem 1.4 (10 points) Consider...
Need only parts 5 and 6 Problem 6: 10 points Assume that X and Y are...
Need only parts 5 and 6
Problem 6: 10 points Assume that X and Y are independent random variables uniformly distributed over the unit interval (0, 1) 1. Define Z = max (X, Y) as the larger of the two. Derive the CD. F. and density function for Z 2. Define W- min (X, Y) as the smaller of the two. Derive the C.D.F. and density function for W. 3. Derive the joint density of the pair (W, Z). Specify...
Problem 7: 10 points Consider independent random variables, [Y: 1, 2, ..., ), having the same...
Problem 7: 10 points Consider independent random variables, [Y: 1, 2, ..., ), having the same Gamma distribution, with the density, .узе-2y for y > 0 Suppose that a random variable, N, does not depend on all Y, and is geometrically distributed, so that PIN = n] = n, for n=1, 2, Consider a random sum, S Y 1. Determine the marginal expectation of S. 2. Determine the marginal variance of S.
Problem 5: 10 points Consider n independent variables, {X1, X2,... , Xn) uniformly distributed over the...
Problem 5: 10 points Consider n independent variables, {X1, X2,... , Xn) uniformly distributed over the unit interval, (0,1) Introduce two new random variables, M-max (X1, X2,..., Xn) and N -min (X1, X2,..., Xn) 1. Find the joint distribution of a pair (M,N) 2. Derive the CDF and density for M 3. Derive the CDF and density for N.
Problem 7: 10 points Assume that a lifetime random variable (T) is exponentially distributed with the intensity λ > 0. 1. Determine conditional density of the residual lifetime, T-u, given that T>u 2. Find conditional expectation, EITIT>] Solution
5.4.8 Electrical pulses with independent and identically distributed random ampl tudes ξ1,$2, arrive at a detector at random times W1, W2 according to a Poisson process of rate λ. The detector output 6k(t) for the kth pulse at time t is for t Wk That is, the amplitude impressed on the detector when the pulse arrives is ξk, and its effect thereafter decays exponentially at rate α. Assume that the detector is additive, so that if N(t) pulses arrive during...
Problem 7: 10 points Assume that a lifetime random variable (T) is exponentially distributed with the intensity λ > 0. I. Determine conditional density of the residual lifetime, T-u, given that T 〉 u. 2. Find conditional expectation, E TT>u
Problem 4 [10 points Assume that variables, (X1, X2, with the same Consider Y-Σ, xi. АЗ, }, conditionally, given Q, are independent Bernoulli distributed parameter, Q. The marginal distribution of Q is uniform over the unit interval (o, Hint Use the identity (valid for integer a 20 and b 2 0): a! b! 1. Find marginal distribution of Y, for k 0,1,2,3. 2. Derive the conditional density for Q, given that Y -2 3. Derive conditional expectation and conditional variance...
Problem 6: 10 points Assume that X and Y are independent random variables uniformly distributed over the unit interval (0,1) 1. Define Z-max (X, Y) as the larger of the two. Derive the C.D.F. and density function for Z. 2. Define Wmin (X, Y) as the smaller of the two. Derive the C.D.F. and density function for W 3. Derive the joint density of the pair (W, Z). Specify where the density if positive and where it takes a zero...
Problem 6: 10 points Assume that X and Y are independent random variables uniformly distributed over the unit interval (0,1) 1. Define Z max (X. Y) as the larger of the two, Derive the C.DF. and density function for Z. 2. Define W min(X,Y) as the smaller of the two. Derive the C.D.F.and density function for W 3. Derive the joint density of the pair (W. Z). Specify where the density if positive and where it takes a zero value....
Problem 1.4 (10 points) Consider a series of payments of $1,000 at the random arrival times of a Poisson process with parameter λ > O. If the (continuously compounded) interest rate is >0, then the present value at time 0 of a payment of $1,000 at time t is given by 1,000e-r Show that the expected total present value at time 0 of the series of payments made by time t>0 is given by $1,000x(1-e-')/r.
Problem 1.4 (10 points) Consider...
Need only parts 5 and 6
Problem 6: 10 points Assume that X and Y are independent random variables uniformly distributed over the unit interval (0, 1) 1. Define Z = max (X, Y) as the larger of the two. Derive the CD. F. and density function for Z 2. Define W- min (X, Y) as the smaller of the two. Derive the C.D.F. and density function for W. 3. Derive the joint density of the pair (W, Z). Specify...
Problem 7: 10 points Consider independent random variables, [Y: 1, 2, ..., ), having the same Gamma distribution, with the density, .узе-2y for y > 0 Suppose that a random variable, N, does not depend on all Y, and is geometrically distributed, so that PIN = n] = n, for n=1, 2, Consider a random sum, S Y 1. Determine the marginal expectation of S. 2. Determine the marginal variance of S.
Problem 5: 10 points Consider n independent variables, {X1, X2,... , Xn) uniformly distributed over the unit interval, (0,1) Introduce two new random variables, M-max (X1, X2,..., Xn) and N -min (X1, X2,..., Xn) 1. Find the joint distribution of a pair (M,N) 2. Derive the CDF and density for M 3. Derive the CDF and density for N.
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